Does Retell handle the telephone lines, or do I need my own Twilio/carrier?

Retell AI is designed to integrate seamlessly into telephony workflows but generally focuses on the conversational agent side. They provide features to list and attach numbers (`list_phone_numbers`), but you often purchase those numbers or link a custom SIP trunk through Retell accounts. You can run `list_phone_numbers` to see your currently available direct lines.

How do I create an outbound call programmatically with my assistant?

Simply ask your assistant to "Call X using my Y agent." Behind the scenes, the AI relies on the `create_phone_call` tool, transmitting a JSON payload supplying the `from_number` (a Retell registered phone number), `to_number` (destination), and an `override_agent_id` parameter to assign your voice agent correctly.

Can the AI initiate voice calls in a web browser instead of over the phone?

Yes. Use the `register_web_call` tool to create a browser-based voice session. This returns a connection URL and access token that your frontend application can use to start a real-time WebRTC conversation with a Retell voice agent, without requiring any phone line.

Retell AI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Name: Retell AI
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Retell AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Retell AI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Retell AI MCP Server

Connect your conversational assistant directly to Retell AI, a powerful platform for building voice-driven conversational agents. Empower your AI to orchestrate, analyze, and automate phone calls or web-based voice interactions seamlessly via simple text commands. From provisioning intelligent voice agents to placing outbound calls to customers, this integration brings the full telecommunication stack directly to your chat interface.

The Vercel AI SDK gives every Retell AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

Automate Phone Calls — Command your assistant to initiate outbound voice interactions on your behalf (create_phone_call) or register active sessions for web browser integration (register_web_call).
Build and Manage Voice Agents — Dynamically orchestrate AI agent personalities (create_agent, update_agent) and configure their underlying conversational brain (create_llm) with specific system instructions and models.
Analyze Telemetry — Keep track of your infrastructure by querying historical call logs (list_calls), investigating specific conversations for transcripts and sentiment analysis (get_call_details), surveying available text-to-speech voices (list_voices), and reviewing provisioned communication lines (list_phone_numbers and list_agents).

The Retell AI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Retell AI to Vercel AI SDK via MCP

Follow these steps to integrate the Retell AI MCP Server with Vercel AI SDK.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 10 tools from Retell AI and passes them to the LLM

Why Use Vercel AI SDK with the Retell AI MCP Server

Vercel AI SDK provides unique advantages when paired with Retell AI through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Retell AI integration everywhere

Built-in streaming UI primitives let you display Retell AI tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Retell AI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Retell AI MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Retell AI in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Retell AI tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Retell AI capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Retell AI through natural language queries

Retell AI MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Retell AI to Vercel AI SDK via MCP:

create_agent

Creates a new AI voice agent

create_llm

Configures a Retell-hosted LLM

create_phone_call

Provide a JSON payload with "from_number" and "to_number". Initiates an outbound phone call

get_call_details

Retrieves details for a specific call

list_agents

Lists all configured AI voice agents

list_calls

Lists all historical and active calls

list_phone_numbers

Lists all phone numbers associated with the account

list_voices

Lists all available text-to-speech voices

register_web_call

Registers a new web-based call

update_agent

Updates an existing AI voice agent

Example Prompts for Retell AI in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Retell AI immediately.

"Can you show me the transcripts for call ID `c_f3a123`?"

"List all available agents I can use."

"We are testing out new numbers. Please use 'from_number' `+18005551234` and dial `+14085551234` assigning my 'agent_555'."

Troubleshooting Retell AI MCP Server with Vercel AI SDK

Common issues when connecting Retell AI to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Retell AI + Vercel AI SDK FAQ

Common questions about integrating Retell AI MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.